The baseline approach is to use a human visual inspection to identify class encoding patterns. Figure REF  illustrates the use of Torchvision [1]}, [2]} for placing the measurement probes and DiGraph [3]} for visualizing AI model computation graph with nodes color-coded according to the utilization values.
Due to the visualization tradeoffs between rendered global and local information of very large graphs, complex connectivity, and heterogeneity of graph nodes, this visual inspection approach to finding patterns is not suitable for global comparisons of AI models (graphs).
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